Server maintenance is scheduled for Saturday, December 21st between 6am-10am CST.

During that time, parts of our website will be affected until maintenance is completed. Thank you for your patience.

Menu
Search
Filters
Close
Menu

ESG and PHMSA’s Mega Rule Have Necessitated Advancements in Hydrotesting and Abandonment of Offshore and Onshore Pipelines

Picture for ESG and PHMSA’s Mega Rule Have Necessitated Advancements in Hydrotesting and Abandonment of Offshore and Onshore Pipelines
Available for download

The work here is the culmination of many years of prior effort in the development of an atmospheric corrosion model and accompanying sensors. Atmospheric corrosion is a complicated process where many factors interact to determine if it occurs and its severity. These factors can be separated into three general categories: environmental, surface salts, and materials.

Product Number: 51323-18982-SG
Author: A.R. Trueman
Publication Date: 2023
$0.00
$20.00
$20.00

A corrosion management system was developed to predict atmospheric corrosion for general and localized corrosion of steels and aluminum alloys. The system can be extended to other materials and corrosion types. The corrosion management system is at an advanced prototype stage, with more work required, mainly in the software components, and is currently being commercialized. The system consists of two components: a Corrosion and Environmental Monitoring System (CEMS) that collects environmental data using deployable sensors and datalogging equipment, and the Atmospheric Corrosion Modelling software (ACM) that uses the CEMS data as well as meteorological and pollutant deposition data, available online, to make corrosion predictions. These corrosion predictions are not based on empirical corrosion data, nor corrosion sensors that are difficult to translate into structural corrosion rates. The ACM system can make predictions for current and future corrosion by using all/or a combination of sensor, meteorological or pollutant deposition data. Where, ideally CEMSs units are required for accuracy, but predictions could be made using online data alone, if restrictions limit CEMS deployments. The system can continuously assess current corrosivity and with meteorological data randomization future corrosion. The ACM is a science, time-based model that uses electrochemical, mechanistic, and environmental algorithms to predict corrosion. This allows the model to be deployed to new locations without long term corrosion testing. However, for validation purposes corrosion coupons were deployed with the CEMS and their corrosion compared to the ACM predictions, with excellent agreement between the two. For aluminum pitting corrosion ACM is the only validated model known to exist. The model predicts corrosion for each wetness period, and thus can be used to assess causality, that for pitting corrosion is important as individual extended periods of wetness dominated the damage witnessed.

A corrosion management system was developed to predict atmospheric corrosion for general and localized corrosion of steels and aluminum alloys. The system can be extended to other materials and corrosion types. The corrosion management system is at an advanced prototype stage, with more work required, mainly in the software components, and is currently being commercialized. The system consists of two components: a Corrosion and Environmental Monitoring System (CEMS) that collects environmental data using deployable sensors and datalogging equipment, and the Atmospheric Corrosion Modelling software (ACM) that uses the CEMS data as well as meteorological and pollutant deposition data, available online, to make corrosion predictions. These corrosion predictions are not based on empirical corrosion data, nor corrosion sensors that are difficult to translate into structural corrosion rates. The ACM system can make predictions for current and future corrosion by using all/or a combination of sensor, meteorological or pollutant deposition data. Where, ideally CEMSs units are required for accuracy, but predictions could be made using online data alone, if restrictions limit CEMS deployments. The system can continuously assess current corrosivity and with meteorological data randomization future corrosion. The ACM is a science, time-based model that uses electrochemical, mechanistic, and environmental algorithms to predict corrosion. This allows the model to be deployed to new locations without long term corrosion testing. However, for validation purposes corrosion coupons were deployed with the CEMS and their corrosion compared to the ACM predictions, with excellent agreement between the two. For aluminum pitting corrosion ACM is the only validated model known to exist. The model predicts corrosion for each wetness period, and thus can be used to assess causality, that for pitting corrosion is important as individual extended periods of wetness dominated the damage witnessed.

Product tags
Also Purchased
Picture for CO2 Transport and Injection, Effect of Impurities, Understanding of Reactions and Consequences
Available for download

CO2 Transport and Injection, Effect of Impurities, Understanding of Reactions and Consequences

Product Number: 51323-18756-SG
Author: J. Sonke, Y. Zheng
Publication Date: 2023
$20.00

The effect of CO2 concentration in the atmosphere on temperature has been known for a long time. Although an increase in CO2 concentration has been observed since the 1960s, a clear change in trend of global temperature increase can be observed from around the 1990s. CCS (Carbon Capture and Storage) is a mature technology available to reduce emissions from large scale fossil-based energy and industry sources. Sufficient geological storage is available for these sources. Mitigation of CO2 emissions via CCS has been identified as crucial to limit global warming.3 In recent years a significant increase in CCS projects have been proposed and initiated. 
Picture for Considering Mass Transfer in Refinery Crude Distillation Overhead Water Wash
Available for download

Considering Mass Transfer in Refinery Crude Distillation Overhead Water Wash

Product Number: 51323-18757-SG
Author: Joel E. Lack
Publication Date: 2023
$20.00

This paper proposes a theory for how a successful water wash achieves salt corrosion control, the mass-transfer considerations driving this process and how popular practices may contribute to or hinder successful outcomes.
Upcoming Changes To NSF Drinking Water System Components Program (NSF 600) - No Need To Be Afraid
Available for download

Upcoming Changes To NSF Drinking Water System Components Program (NSF 600) - No Need To Be Afraid

Product Number: 51322-18136-SG
Author: Steven P. Roetter
Publication Date: 2022
$20.00

In 1984 the US EPA issued a Request for Proposals to select a provider to privatize the approval of products and components used in water distribution systems across the United States.  A team which was led by NSF International and included the American Water Works Association Research Foundation, the Association of State Drinking Water Administrators, the Conference of State Health and Environmental Managers, and the American Water Works Association was awarded the contract to develop the standard. In 1988, NSF/ANSI 61: Drinking Water System Components ― Health Effects was published as a result of the work of this team.  This standard established minimum requirements for the control of potential adverse human health effects from products that contact drinking water and has been updated regularly since then to add testing criteria for additional contaminants and product types. 
Categories
Industry
Recently viewed
Popular tags
View all

Association for Materials Protection and Performance

© AMPP All Rights Reserved.
Membership Terms of Content Use
Contact Customer Support